Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Sapa
1
82 kgWitecki
2
70 kgFirsanov
3
58 kgRomanik
10
62 kgBaranowski
19
68 kg
1
82 kgWitecki
2
70 kgFirsanov
3
58 kgRomanik
10
62 kgBaranowski
19
68 kg
Weight (KG) →
Result →
82
58
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAPA Marcin | 82 |
| 2 | WITECKI Mariusz | 70 |
| 3 | FIRSANOV Sergey | 58 |
| 10 | ROMANIK Radosław | 62 |
| 19 | BARANOWSKI Dariusz | 68 |